Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses that the tool queues for Keep in Media, does not post to X again, and may require manager approval on first use. It also mentions the approval types (from-now-on vs just-once). This is good behavioral transparency, though it could add more detail about what happens after queuing (e.g., whether it appears in a specific pipeline state).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and front-loaded with the core purpose. It uses two short paragraphs: the first explains what the tool does and when to use it, the second covers approval requirements. Every sentence adds value, and there is no redundant or filler content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (3 params, no output schema, no annotations), the description is fairly complete. It covers the purpose, usage context, and approval behavior. It could be more complete by describing what happens after ingestion (e.g., where the item appears in Media, any status changes), but the core information is present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all three parameters. The description adds context for tweet_id (accepts tweet id or x.com URL) and mentions pipeline_id defaults to the company social pipeline, which adds value beyond the schema. However, companyId is standard and well-described in the schema, so the description doesn't add much beyond what's already there.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: to put an operator's already-posted X item into the Media pipeline as the human. It specifies the action (ingest), the resource (X post), and the destination (Media pipeline), and distinguishes it from posting to X again. The phrase 'without a paste' and 'does not post to X again' differentiates it from similar content ingestion tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use this tool: 'Use when the operator posted on X and FO should capture it in Media without a paste.' It also clarifies what it does not do ('does not post to X again'), which helps the agent avoid misuse. The write-tier approval note provides additional context on when approval may be needed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.